TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.QuantizedConv2D`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/00e9a4d67d76703fa1aee33dac582acf317e0e81/tensorflow/core/kernels/quantized_conv_ops.cc#L257-L259) does a division by a quantity that is controlled by the caller. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/commit/cfa91be9863a91d5105a3b4941096044ab32036b | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x4g7-fvjj-prg8 | Exploit Patch Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-05-14T19:12:33
Updated: 2021-05-14T19:12:33
Reserved: 2021-03-30T00:00:00
Link: CVE-2021-29527
JSON object: View
NVD Information
Status : Analyzed
Published: 2021-05-14T20:15:11.850
Modified: 2021-05-20T15:47:31.060
Link: CVE-2021-29527
JSON object: View
Redhat Information
No data.
CWE